Workshop at CNS 2018

Organisers:

Wednesday, July 18, 9 a.m. - 6 p.m.


Most abstract neural network models operate with single compartment neurons, i.e. without dendrites. In contrast, just about all mammalian neurons receive a majority of their synaptic inputs on dendrites. It is becoming increasingly clear that this is not just to provide more surface area and sample inputs in specific spatial configurations, but that dendrites supply neurons with important non-linear functions.  This workshop will highlight modelling studies that explore the properties of dendritic computations through compartmental modelling. The distinct dendritic computational properties of different cell types will be highlighted.


Call for Contributed Talks

Open call for contributed short talks to our dendrite workshop - interested potential attendees please e-mail the organisers with a title and short abstract.


Detailed Schedule

Time Speaker Title
09:00 a.m. - 09:30 a.m. Dieter Jaeger Introduction and Globus Pallidus neuron modelling
09:30 a.m. - 10:00 a.m. Volker Steuber Dendritic morphology and information processing in cerebellar neurons
10:00 a.m. - 10:30 a.m. Carmen Canavier Intrinsic mechanisms of frequency selectivity in proximal dendrites of CA1 Pyramidal neurons
     
10:30 a.m. - 11:00 a.m.   Coffee Break
     
11:00 a.m. - 11:30 a.m. Arnd Roth Active dendrites enable strong but sparse inputs to determine orientation selectivity
11:30 a.m. - 12:00 p.m. Alexandra Tran-Van-Minh  
12:00 p.m. - 12:30 p.m. Monika Jadi  
     
12:30 p.m. - 02:00 p.m.   Lunch break
     
02:00 p.m. - 02:30 p.m. Christof Koch The astonishing diversity of mouse and human cortical dendrites
02:30 p.m. - 03:00 p.m. Bill Lytton Dendritic plateaus could underlie hierarchical embedded ensembles
03:00 p.m. - 03:30 p.m. Avrama Blackwell Inhibition enhances spine-specific Calcium encoding of synaptic input patterns
     
03:30 p.m. - 04:00 p.m.   Coffee Break
     
04:00 p.m. - 05:00 p.m.   Contributed talks
05:00 p.m. - 06:00 p.m.   General discussion: "What is missing in artifical neural network algorithms without dendrites"